Staff SW Engineer- Java backend with GenAI experience

• Collaborate with stakeholders to determine requirements for product components and incorporate feedback into future designs or solutions.
• Translate functional requirements into system designs and communicate component interactions, ensuring alignment with business needs and timelines.
• Design and develop product components, refine code plans, and lead design reviews to ensure completeness and adherence to requirements.
• Contribute to project estimation, considering delivery costs and escalating issues that may cause delays.
• Lead by example in creating, implementing, and maintaining extensible, reusable code, and drive code quality through metrics and best practices.
• Apply debugging tools to resolve moderately complex issues and identify opportunities for automation across products.
• Lead code reviews, ensuring adherence to coding standards and providing feedback to team members.
• Create complex test plans, identify test gaps, and proactively address defects to minimize customer impact.
• Leverage data analysis and monitoring standards to identify patterns and defects in all environments.
• Respond to incidents during on-call rotations, troubleshoot complex issues, and assist in incident response and resolution.
• Build, enhance, and identify new developer tools to support programs and applications.
• Proactively seek new knowledge and adapt to trends and technical solutions to improve product performance and recommend resources to other engineers.

This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.

Qualifications

Education & Experience:

7.5+ yearsof relevant software engineering experience

Bachelor's or Master's degreein Computer Science, Software Engineering, Distributed Systems, or related field

Core Technical Skills:

Java & Distributed Systems Expertise:

Extensive technical experience withJAVA, Spring, Hibernate

Advanced Java developmentincluding concurrency, multithreading, and performance optimization

Deep understanding ofdistributed system architectures(microservices, event-driven, service mesh)

Experience withdistributed consensus algorithms(Raft, Paxos) and coordination services (Zookeeper, etcd)

Proficiency indistributed data managementpatterns (CQRS, Event Sourcing, Saga patterns)

Strong knowledge ofdistributed caching(Redis, Hazelcast, Memcached)

Experience withmessage queues and streaming platforms(Kafka, RabbitMQ, Pulsar)

Understanding ofCAP theorem, eventual consistency, and distributed transaction management

Experience buildinghighly available, fault-tolerant systemswith disaster recovery capabilities

Knowledge ofservice discovery, load balancing, and circuit breaker patterns

Proficiency in code development usingEclipse/MyEclipse, JetBrains IntelliJor any major Java IDE

Strong experience withGIT/Stash, Maven, and Jenkins

API & Integration:

Extensive experience inAPI Developmentusing SOAP or REST, JSON and XML

Deep knowledge of API standards includingOAuth, SAML

Experience withGraphQL, gRPC, and modern API gateway patterns

Understanding ofAPI versioning, rate limiting, and distributed API management

Experience buildingasync/reactive APIsusing Spring WebFlux or similar frameworks

Data & Infrastructure:

Experience withSQL datastores(DB2/MySQL) andUnix/Linux platforms

Understanding ofdatabase sharding, replication, and distributed database systems

Experience withdistributed file systems(HDFS, S3, or similar)

Knowledge ofdata consistency patternsacross distributed datastores

Proven experience withtools development, automation(CI/CD, Auto Deployment, System Availability), logging and monitoring

Experience withdistributed tracing(Jaeger, Zipkin, OpenTelemetry)

Working knowledge ofstreaming platforms like Kafkafor real-time data processing

AI-First Engineering Skills:

Hands-on experience withLLM integrationand serving at scale (OpenAI API, Azure OpenAI, Claude, Llama, etc.)

Proficiency inAI-assisted developmenttools (GitHub Copilot, Cursor, Cline, or similar)

Experience buildingintelligent APIswith AI/ML inference endpoints in distributed environments

Understanding ofvector databases(Pinecone, Weaviate, ChromaDB) for RAG applications

Knowledge ofprompt engineeringand AI model fine-tuning

Distributed Systems Design:

Experience designingscalable microservices architectureshandling millions of transactions

Knowledge ofdistributed system monitoringand observability (Prometheus, Grafana, ELK stack)

Understanding ofcontainer orchestrationin distributed environments

Experience withchaos engineeringand resilience testing

Proficiency indistributed debuggingand troubleshooting techniques

Professional Capabilities:

Ability to writeclean, coherent codefollowing established coding guidelines

Strong interpersonal and effective communication skills(both written and verbal)

Highly driven, resourceful, and results-oriented

Experience leveraging AI tools toaccelerate development velocityand code quality

Ability to design and communicatedistributed system architectureseffectively

Visa is an EEO Employer

Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.